Predicting Impact of Maintenance Resource Management Training Utilizing Individual Difference Variables

Human error has been identified as a leading cause of accidents and incidents in many high-consequence industries, such as aviation and medicine. These industries have evolved widespread employee training programs to prevent such errors or to mitigate their impact on the public. In addition, common perceptions exist in these industries regarding the role of age, employee tenure, and type of position held in an employee\u27s responsiveness to such training. This study was conducted to identify the predictive role individual difference variables may play in the impact of maintenance resource management training programs in an aviation maintenance setting. Using multiple regression analyses, the study identifies common misperceptions in the industry regarding the effect of these variables on employees\u27 responses to training

The power of film: A model for the use of group cinematherapy in the therapeutic treatment of clinically depressed adolescents

The following thesis proposes a model for the use of cinematherapy as part of treatment for clinically depressed adolescents. The thesis outlines the rationale for such a model, including the relative convenience and potential benefits of using movies as a therapeutic technique. This thesis also examines the professional literature regarding the topics of cinematherapy, bibliotherapy, group therapy, therapeutic metaphor, metaphoric techniques in therapy, and adolescent depression. A model is proposed to offer a specific framework in which cinematherapy may be used in the group treatment of adolescent depression, as well as tools that may assist clinicians in monitoring treatment outcomes. Finally, a discussion is offered regarding the potential benefits and drawbacks of the proposed model, as well as implications for future research and applications of the model

Electronic Checklist Implementation: Transition Training and GA Usage

In this conceptual study, the authors explore the development of checklists for fixed-wing aviation operations, including their utility in accomplishing identified goals and adherence to human factors design principles. Furthermore, the authors review the current status of the aviation industry transition to electronic checklists, comparing them to their paper counterparts, and assess adherence to human factors principles in electronic checklist design and implementation. The role of electronic checklists in general aviation operations and safety implications of the electronic transition are discussed. Brief Summary of Research: Anecdotal evidence suggests that more and more pilots at both the general aviation (GA) and commercial pilot levels are utilizing electronic checklists for operations, rather than paper-based checklists. Empirical research has focused on isolated components of the implementation process and raised the specter of safety and situational considerations in the transition from paper-based to electronic checklist; however, there have been few attempts to synthesize the available findings on electronic checklist transition and relate the “state of the industry” in this regard to human factors design principles. In the present conceptual study, the authors review available literature on the paper-to-electronic checklist transition, identify the status of electronic checklists in general aviation operations, and evaluate both paper-based and electronic checklists in relation to identified human factors design principles. Based on these results, the authors propose revisions to the electronic checklist transition and usage processes and identify safety-critical next steps

A Qualitative Assessment of Airline Passenger Satisfaction

Each year, airline passengers respond to the Airline Passenger Survey providing feedback of their experiences with major domestic (U.S.) airlines. The Airline Passenger Survey analyzes responses to a varied set of questions. This specific study is limited to the single open-ended question within the survey. This question is optional, but allows an opportunity to share any issues, concerns, and/or complaints regarding their own air travel experiences. There is no limitation on the number of words submitted. Through the application of a thematic coding scheme, results show what the highest concerns of airline passengers have been the last two years

A Study of Self-Esteem and Grade Point Average (GPA) Among College Students

The study examined the possible relationship between self-esteem and grade point average (GPA) held by college students. One hundred forty college students completed a survey, through the Human Subject Pool, as well as at the end of five separate classes, to determine their level of self-esteem as well as to obtain their permission to view their GPA anonymously. Results suggest that there is a positive relationship between selfesteem and grade point averag

Airline Quality and the Consumer Perception

Operational performance of the U.S. airline industry has been monitored for the past 27 years by a quantitative model of metrics known as the Airline Quality Rating. The National Airline Quality Rating (http://airlinequalityrating.com) sets the industry standard for comparing performance quality among U.S. airlines. Criteria included in the Airline Quality Rating (AQR) report are screened to meet two basic elements: (1) they must be readily obtainable from published data sources for each airline, and (2) they must be important to consumers regarding airline quality. Results from this report are retrieved from the April 2016 Airline Quality Rating Report

Attentiveness on Airline Quality as Viewed by the Domestic Consumer

This study examines the relationship between the quantitative model of the Airline Quality Rating (AQR), and the qualitative model of the Airline Passenger Survey (APS). Operational performance of the U.S. airline industry has been monitored for the past 27 years by the Airline Quality Rating, and qualitative performance has been monitored for the past 6 years by the Airline Passenger Survey. The AQR provides consumers and aviation industry professionals a means to compare performance quality among U.S. airlines using objective, performancebased data. No other airline study in the country is based on performance measures. The APS was added as a new feature of the AQR in 2008 following increased interest in the relationship between consumer perceptions and objective airline industry performance. Results from this study were retrieved from data between the periods of 2008-2016 from the April 2016 Airline Quality Rating Report and the Airline Passenger Survey

Quality Analysis of United States Commercial Air Carriers: Airline Quality Rating 2019

Past research regarding major U.S. commercial air carriers and consumer perceptions of airline performance has provided little more than a descriptive “snapshot” of the average air traveler. Using the most recent data and findings, as well as building on the previous 29 continuous years of research with the national Airline Quality Rating (AQR), the present study attempts to move beyond the basic descriptive information by identifying significant changes that have occurred over the previous year. Collectively, changes may influence the way consumers, at varying levels of travel frequency, view the commercial air industry. This research utilizes trend analysis methodology by examining airline data from the most current report. This approach provides a means to track airlines’ progressions and regressions in operational performance and allows for the development of theories in data shifts and trends. The development of this qualitative model also enables industry experts to enhance their understanding of the attitudinal patterns and relationships between airline performance and consumer viewpoints. Additionally, this study attempts outline the measurable results from the Department of Transportation’s Air Travel Consumers Report and exemplify the formula-driven, weighted averages calculated by the Airline Quality Rating. The most recent findings suggest that the airline industry has improved significantly, and the flying public has noticed this improvement in performance. Kaetlyn Blocker is a Graduate Research Assistant in ERAU Prescott\u27s College of Aviation, Master of Safety Science program

An Innovative Leadership Effectiveness Measure: Applied Analytic Indicators of High-Consequence Industry Performance

Leadership effectiveness in high-consequence industries has more than a bottom-line fiscal impact; it is linked to critical issues of human safety. Performance, productivity and overall quality of service have to be managed with focus on improvement in systemic safety while simultaneously maintaining a viable and profitable organization. This premise is specifically foremost in the leadership of airline organizations. The Airline Quality Rating has become a recognized and lauded indicator of airline performance in the United States. A valid case is presented herein to confirm that the Airline Quality Rating’s applied analytic methodology effectively provides a tool for assessing organizational leadership. These results provide a benchmark for global adoption in the world airline industry

Airline Quality Research: a Student\u27s Perspective

This study examines the relationship between the Airline Quality Rating (AQR) and the Airline Passenger Survey (APS) from an undergraduate student’s perspective, as well as how conducting undergraduate research has influenced the student researcher. Operational performance of the U. S. airline industry has been monitored for the past 27 years by a quantitative model of metrics known as the Airline Quality Rating. These metrics include on - time flights, denied boardings, mishandled baggage, and customer complaints. As the nation’s most comprehensive study of airline performance and quality, the National Airline Quality Rating (http : //airlinequalityrating . com) sets an industry standard, providing consumers and aviation industry professionals a means to compare performance quality among U. S. airlines using objective, performance - based data. No other airline study in the country is based on performance measures . Criteria included in the Airline Quality Rating (AQR) report are screened to meet two basic elements : ( 1 ) they must be readily obtainable from published data sources for each airline, and ( 2 ) they must be important to consumers regarding airline quality. The APS was added as a new feature of the AQR in 2008 following increased interest in the relationship between consumer perceptions and objective airline industry performance. The student researcher has gained skills related to communication and collaboration with mentors, trend and data analysis within the aviation industry, as well as gave the student valuable experience to bring to research later on in their graduate career. Results were retrieved from the April 2016 Airline Quality Rating Report and the 2016 Airline Passenger Survey